Cairo, Egypt

Time filter

Source Type

Naguib I.A.,Beni Suef University | Abdelaleem E.A.,Beni Suef University | Draz M.E.,Nahda University | Zaazaa H.E.,Cairo University
Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy | Year: 2014

Partial least squares regression (PLSR) and support vector regression (SVR) are two popular chemometric models that are being subjected to a comparative study in the presented work. The comparison shows their characteristics via applying them to analyze Hydrochlorothiazide (HCZ) and Benazepril hydrochloride (BZ) in presence of HCZ impurities; Chlorothiazide (CT) and Salamide (DSA) as a case study. The analysis results prove to be valid for analysis of the two active ingredients in raw materials and pharmaceutical dosage form through handling UV spectral data in range (220-350 nm). For proper analysis a 4 factor 4 level experimental design was established resulting in a training set consisting of 16 mixtures containing different ratios of interfering species. An independent test set consisting of 8 mixtures was used to validate the prediction ability of the suggested models. The results presented indicate the ability of mentioned multivariate calibration models to analyze HCZ and BZ in presence of HCZ impurities CT and DSA with high selectivity and accuracy of mean percentage recoveries of (101.01 ± 0.80) and (100.01 ± 0.87) for HCZ and BZ respectively using PLSR model and of (99.78 ± 0.80) and (99.85 ± 1.08) for HCZ and BZ respectively using SVR model. The analysis results of the dosage form were statistically compared to the reference HPLC method with no significant differences regarding accuracy and precision. SVR model gives more accurate results compared to PLSR model and show high generalization ability, however, PLSR still keeps the advantage of being fast to optimize and implement. © 2014 Elsevier B.V. All rights reserved.


Aref A.-B.M.,South Valley University | Ahmed O.M.,Beni Suef University | Ahmed O.M.,Nahda University | Ali L.A.,South Valley University | Semmler M.,Diabetes Research Institute
Journal of Diabetes Research | Year: 2013

This study was designed to assess the effect of maternal diabetes in rats on serum glucose and insulin concentrations, insulin resistance, histological architecture of pancreas and glycogen content in liver of offspring. The pregnant rat females were allocated into two main groups: normal control group and streptozotocin-induced diabetic group. After birth, the surviving offspring were subjected to biochemical and histological examination immediately after delivery and at the end of the 1st and 2nd postnatal weeks. In comparison with the offspring of normal control dams, the fasting serum glucose level of offspring of diabetic mothers was significantly increased at the end of the 1st and 2nd postnatal weeks. Serum insulin level of offspring of diabetic dams was significantly higher at birth and decreased significantly during the following 2 postnatal weeks, while in normal rat offspring, it was significantly increased with progress of time. HOMA Insulin Resistance (HOMA-IR) was significantly increased in the offspring of diabetic dams at birth and after 1 week than in normal rat offspring, while HOMA insulin sensitivity (HOMA-IS) was significantly decreased. HOMA beta-cell function was significantly decreased at all-time intervals in offspring of diabetic dams. At birth, islets of Langerhans as well as beta cells in offspring of diabetic dams were hypertrophied. The cells constituting islets seemed to have a high division rate. However, beta-cells were degenerated during the following 2 post-natal weeks and smaller insulin secreting cells predominated. Vacuolation and necrosis of the islets of Langerhans were also observed throughout the experimental period. The carbohydrate content in liver of offspring of diabetic dams was at all-time intervals lower than that in control. The granule distribution was more random. Overall, the preexisting maternal diabetes leads to glucose intolerance, insulin resistance, and impaired insulin sensitivity and β-cell function in the offspring at different postnatal periods. © 2013 Abdel-Baset M. Aref et al.


Ahmed O.M.,Beni Suef University | Ahmed O.M.,Nahda University | Gabar M.A.,Beni Suef University | Ali T.M.,Beni Suef University
Journal of Diabetes and its Complications | Year: 2012

The present study was conducted to assess the interrelationship and the influence of the coexistence of diabetes and hypothyroidism on thyroid hormone levels, insulin levels and biochemical variables related to carbohydrate, lipid and protein metabolism in addition to thyroid gland and Islets of Langerhans histological changes and antioxidant defense system. Diabetes mellitus was induced by intraperitoneal injection of streptozotocin to fasting albino rats at dose level of 45 mg/kg b. w. Hypothyroidism in diabetic and normal rats was induced by adding methimazole in drinking water (0.02% w/v) for 4 weeks. The obtained results revealed that hypothyroidism interacts with diabetes in a way that prevents the progress of the hyperglycemic state. This may be due to the increase in the insulin secretory response in diabetic hypothyroid than diabetic rats. Serum T3 level decreased in order in diabetic (- 26.63%), hypothyroid (- 61.89%) and diabetic hypothyroid (- 65.69%) rats while T4 level was increased in diabetic rats and decreased in hypothyroid ones. The decrease in T3 level in diabetic animals in spite of T4 increase may be attributed to the decrease in conversion of T4 to T3 as a result of hepatic 5′-DI decreased activity. Liver glycogen content was three-fold decreased in diabetic rats and was not significantly altered in both hypothyroid and diabetic hypothyroid rats. The serum leptin level and body weight gain were decreased in diabetic and diabetic hypothyroid rats; the leptin level was more deteriorated in diabetic hypothyroid rats while body weight gain was more affected in diabetic rats. Serum triglycerides level was more increased in diabetic rats than in diabetic hypothyroid ones on one hand, while total lipids, total cholesterol, LDL-cholesterol levels as well as cardiovascular indices were more deteriorated in diabetic hypothyroid rats than diabetic ones on the other hand. Serum total protein and globulin levels were decreased in diabetic rats and were increased in hypothyroid and diabetic hypothyroid rats. Hepatic total thiols and glutathione contents and catalase and peroxidase activity were profoundly decreased in diabetic rats while they (except glutathione) were increased in hypothyroid and diabetic hypothyroid rats. In conclusion, the hypothyroidism may have a counteracting effect on the hyperglycemic state and the elevated serum T4 level as well as the deteriorated antioxidant defense system found in diabetes mellitus, but both experimentally-induced diseases may synergize in inducing more elevation of serum total lipids, total cholesterol and LDL-cholesterol and more decrease in leptin levels. © 2012 Elsevier Inc.


Elazab S.,Nahda University | Alazab M.,Higher Technological Institute
Proceedings - 2015 5th International Conference on e-Learning, ECONF 2015 | Year: 2015

Recent communication and information technology have unlocked entirely new directions for education and training. Mounting pressure from increasing free, online course offerings is opening discussion and catalyzing change in the physical classroom. The flipped classroom is at the center of this arena. The flipped classroom is a new pedagogical method, which employs asynchronous video lectures and practice problems as homework, and active, group-based problem solving activities in the classroom. It represents a unique combination of learning theories once thought to be incompatible-active, problem-based learning activities founded upon a constructivist ideology and instructional lectures derived from direct instruction methods founded upon behaviorist principles. This paper provides a comprehensive survey of prior and ongoing research of the flipped classroom and introduces a case study for higher education and the perception of the both students and instructors. Studies are characterized on the type of in-class and out-of-class activities, On the other hand, we introduce some notes to help faculties to smoothly transform from traditional classroom to flipped classroom. © 2015 IEEE.


Radwan A.A.,Minia University | El-Bakry H.M.,Mansoura University | El Hadad H.M.,Nahda University
Recent Researches in Applied Informatics - Proceedings of the 2nd International Conference on Applied Informatics and Computing Theory, AICT'11 | Year: 2011

The successful application of data mining in highly visible fields like e-business and marketing have led to the popularity of its use in knowledge discovery in databases (KDD) in other industries and sectors. Among these sectors that are just discovering data mining are the fields of medicine and public health. The medical industries collect huge amounts of healthcare data which, unfortunately, are not "mined" to discover hidden information. We can describe this data as being 'information rich' yet 'knowledge poor'. In this study, we briefly examine the use of the most important data mining techniques such as Artificial Neural Network to massive volume of data in medical field which is pediatric respiratory disease. Using medical symptoms such as dry cough, productive cough, fever, heamoptysis, tachypnea, dysnea and etc. Also using doctor sign such as bronchial breathing, chest pain, clubbing of finger, crepitation, ronchi, cyanosis, decrease brearthing sound on auscultation, dullness on percussion, hyper resonant on percussion, inability to swallow, mucopurelent sputum, pleural rub, respiratory distress, sputum (white), stridor, upper respiratory infection, wheezing, X-ray [showing lung consolidation], X-ray [shawing edematous epiglottic], X-ray [shawing subglottic narrowing and classic narrow trachea], X-ray [showing hypertanslucent lung], X-ray [showing lobar collapse and (increase) bronchovascular marking], X-ray [showing diffuse haziness], it can predict the likelihood of patients getting a respiratory disease. They enable significant knowledge, e.g. patterns, relationships between medical factors related to respiratory disease, to be established.


El-Azab S.,Nahda University | Aboelfadl K.,Nahda University
Proceedings - 2015 5th International Conference on e-Learning, ECONF 2015 | Year: 2015

Nahda University is the first privet university in Upper Egypt in Banisuif. As the direction for Nahda University is to be paperless, there is the E Learning Support System (ELS) for the undergraduate students of the six faculties of the university; which includes Oral and Dental Medicine, Pharmacy, Business Administration, Engineering, Mass Communication and information Technology. The ELS is considered the communication tool between students and the academic staff members and this is available anywhere and anytime across the internet in different ways to be suitable with variable situations and student abilities. ELS is considered Learning Management System LMS and e learning and it is not a substitute for the traditional learning but it is a blended learning. Generally, ELS is the bridge connecting between students and university. It is accessible through the website www.nubels.com. © 2015 IEEE.


Khorshid A.F.,Nahda University | Issa Y.M.,Cairo University
Biosensors and Bioelectronics | Year: 2014

A novel, simple, rapid, selective and sensitive method for the determination of neostigmine (Ns) ion in its bulk powder, different pharmaceutical dosage forms, and biological fluids (plasma and urine) using four modified carbon paste electrodes was developed. Sensor 1 is based on ion-association Ns-TPB, sensor 2 used Ns-PT, sensor 3 comprises a mixture of (Ns-PT+Ns-TPB) and sensor 4 was constructed using (Ns-PT+β-CD). Solvent mediator 2-NPPE exhibited a proper behavior including Nernstian slope ranging from 61.5±0.5 to 64.5±0.5mV per decade over the pH range of 3.8-10 for the four sensors. Linear responses of Ns within the concentration range 1.0×10-7-1.0×10-2mol/L were obtained. The response time is very short (≤10s) with a detection limit 6.3×10-8M. In flow injection analysis (FIA), sensor 3 shows a Nernstian slope value 75.5±0.5mV per decade within the concentration range of 1×10-6-1×10-2mol/L and with a detection limit 7.5×10-7 mol/L. The utility of mixed or additives of β-CD had a significant influence on increasing the sensitivity of sensors 3 and 4 compared to sensors 1 and 2. The sensors were applied for the determination of neostigmine (Ns) ion in its bulk powder, different pharmaceutical dosage forms, and biological fluids (plasma and urine). The results obtained were satisfactory with excellent percentage recovery comparable with official method for the assay based on non-aqueous titration using perchloric acid as a titrant. © 2013 Elsevier B.V.


The fabrication and the performance response characteristics of a sensitive, selective, simple, and rapid sensor for the determination of clopidogrel bisulfate (CLO-H2SO4) were described. The constructed carbon paste sensor comprised of an ion-pair based on clopidogrel with silicotungstate (CLO-ST) where this study included: composition, usable pH range, response time and temperature. The sensor exhibited a wide linear dynamic concentration ranging from 1.00×10-7 to 1.00×10-2 and the usable pH ranges from 1.2 to 4.8 with the response time ranging from 5 to 8s which is much faster compared to liquid ISEs with a detection limit equalling 0.34nM. The selectivity of the sensor (CLO-H2SO4) was applied with respect to many of organic and inorganic cations, amino acids and sugars. The sensor had applications in bulk powder, tablets, humans (serum-urine) and in monitoring Plavix tablets' dissolution rates. The obtained results were statistically analyzed for both accuracy and precision and were compared using the US pharmacopeial method where no significant difference was observed. © 2014 King Saud University.


El-Sherbiny G.M.,October 6 University | el Sherbiny E.T.,Nahda University
Iranian Red Crescent Medical Journal | Year: 2011

Background: Trichomoniasis vaginalis is now an important worldwide health problem. Metronidazole has so far been used in treatment, but the metronidazole-resistant strains and unpleasant adverse effects have been developed. Myrrh is one of the oldest known medicinal plants used by the ancient Egyptians for medical purposes and for mummification. Commiphora molmol (Myrrh) proved safe for male reproductive organ which is the main habitat of T. vaginalis and this study aims to evaluate the efficacy of the herbal against T. vaginalis in females. Methods: In the present study, 33 metronidazole-resistant T. vaginalis females were treated with a combined course of metronidazole and tinidazole. Those still resistant to the combined treatment were given C. molmol. Also, natural plant extract purified from pomegranate (Punica granatum, Roman) was in-vitro investigated for its efficacy against T. vaginalis on Diamond media. Results: The anti-T. vaginalis activity of both P. granatum (in-vitro) and C. molmol (in-vivo) extracts gave promising results. Conclusion: The anti-T. vaginalis activity of P. granatum and C. molmol showed promising results indicating to sources of new anti-Ttrichomonas agents. © Iranian Red Crescent Medical Journal.


Anodic oxidation of Co, Cu, Zn, and Sn metals in an anhydrous acetone solution of 1,1-oxalyl-, malonyl- or succinyl-bis(4-p- chlorophenylthiosemicarbazide) yields a new polynuclear complexes. The isolated complexes have the general composition [M 2(L)(H 2O) 6], L = pClSuTS and M = Co(II), Cu(II) or Sn(II), [M 2(L)(H 2O) n]·nH 2O where M = Cu(II), Co(II) or Sn(II), L = pClOxTS and n = 2 or 6, and [M 2(L)(ac) 2]·nH 2O where M = Co(II) or Zn(II), L = pClOxTS or pClSuTS and n = 2. The thermogravimetry (TG) and derivative thermogravimetry (DTG) have been used to study the thermal decomposition of the investigated bisthiosemicarbazide ligands and their metal complexes. The kinetic thermodynamic parameters such as: E, ΔH, ΔS and ΔG are calculated using Horowitz-Metzger (HM) and Coats-Redfern (CR) equations. The kinetic thermodynamic parameters such as: E, ΔH, ΔSand ΔG are calculated from the DTG curves. The tested compounds show a reasonable activity against four strains of Gram-negative bacteria; Escherichia coli, Pseudomonas aeruginosa species and Gram-positive bacteria; Bacillus cereus and Staphylococcus aureus. © 2011 Elsevier B.V. All rights reserved.

Loading Nahda University collaborators
Loading Nahda University collaborators